Root Cause Analysis

1.4 CEUs


IISE and MoreSteam are pleased to present this online course.

In this course both qualitative and statistical methods are taught to link root causes to outcomes. Getting to the real root cause of a problem may be a simple and direct path that is easily revealed by asking "Why?" repeatedly. But the diagnostic path might be more complicated with multiple root causes that interact together. In this course, you will learn how to use analytical tools to understand the interactions.

What You Will Learn:

After completing this course, you should be able to DO the following:

  • Determine when and how to build and correctly interpret pareto charts.
  • Identify the root cause of performance shortfalls by asking "Why" enough times to connect cause with effect.
  • Construct a cause & effect diagram (fishbone) to identify and sort process inputs.
  • Determine the level of correlation between 2 variables.
  • Use a scatter plot to visually examine the relationship between two variables.
  • Use multiple regression analysis to find the most significant process inputs and build a model of Y=f(X).
  • Use logistic regression to find the most significant process inputs and build a model of Y=f(X) when Y is a binary output.
  • Employ a decision matrix for solution selection to prioritize the best course of action.
  • Track implementation of improvement actions with a corrective action matrix.
  • Work upstream to more complicated causal relationships with comprehensive root cause mapping.

Course Outline

Click here to see an outline of the course: 


This course has no pre-requisites.

Additional Information on Registering for this Course

Note: This course is a collaboration between IISE and MoreSteam. The course will be delivered via MoreSteam’s innovative online learning platform and IISE members enjoy preferred pricing for this MoreSteam content. Please allow 1-2 business days to receive your course link from MoreSteam after completing your registration with IISE.

Registration Fee

Member: $475 Non-Member: $500